SMAC. We also conduct experiments on SMAC [1]}. We train MARL methods and our method on 2m_vs_1z where are two agents combating with one opponent. To overcome the issue of high dimension continuous state space, We utilize simhash [2]} to calculate the hash value of the key. We only select the attack action and set the action duration with 9. As illustrated in Fig. REF , incorporated with our novel episodic memory, QMIX, IQL and VDN illustrate enhanced performance, demonstrating the superiority of our method on complex multi-agent scenarios.
